The DOI matches its Crossref record; 126 of the 126 references it cites were found in a registry or an index.
The T cell immune response against SARS-CoV-2
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Dexamethasone in Hospitalized Patients with Covid-19
The RECOVERY Collaborative Group (2021) · New England Journal of Medicine · doi:10.1056/nejmoa2021436 · Cited by 11,477
Clinical and immunological features of severe and moderate coronavirus disease 2019
Chen, G., Wu, D., Guo, W., Cao, Y., Huang, D., Wang, H., Wang, T., Zhang, X., Chen, H., Yu, H., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci137244 · Cited by 4,750
Imbalanced Host Response to SARS-CoV-2 Drives Development of COVID-19
Blanco-Melo, D., Nilsson-Payant, B. E., Liu, W.-C., Uhl, S., Hoagland, D., Møller, R., Jordan, T. X., Oishi, K., Panis, M., Sachs, D., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.026 · Cited by 4,222
Coronaviruses: An Overview of Their Replication and Pathogenesis
Fehr, A. R., & Perlman, S. (2015) · Methods in Molecular Biology · doi:10.1007/978-1-4939-2438-7_1 · Cited by 3,787
Khoury, D. S., Cromer, D., Reynaldi, A., Schlub, T. E., Wheatley, A. K., Juno, J. A., Subbarao, K., Kent, S. J., Triccas, J. A., & Davenport, M. P. (2021) · Nature Medicine · doi:10.1038/s41591-021-01377-8 · Cited by 3,742
Grifoni, A., Weiskopf, D., Ramirez, S. I., Mateus, J., Dan, J. M., Moderbacher, C. R., Rawlings, S. A., Sutherland, A., Premkumar, L., Jadi, R. S., et al. (2020) · Cell · doi:10.1016/j.cell.2020.05.015 · Cited by 3,595
Impaired type I interferon activity and inflammatory responses in severe COVID-19 patients
Hadjadj, J., Yatim, N., Barnabei, L., Corneau, A., Boussier, J., Smith, N., Péré, H., Charbit, B., Bondet, V., Chenevier-Gobeaux, C., et al. (2020) · Science · doi:10.1126/science.abc6027 · Cited by 2,984
Autoantibodies against type I IFNs in patients with life-threatening COVID-19
Bastard, P., Rosen, L. B., Zhang, Q., Michailidis, E., Hoffmann, H.-H., Zhang, Y., Dorgham, K., Philippot, Q., Rosain, J., Béziat, V., et al. (2020) · Science · doi:10.1126/science.abd4585 · Cited by 2,662
Reduction and Functional Exhaustion of T Cells in Patients With Coronavirus Disease 2019 (COVID-19)
Diao, B., Wang, C., Tan, Y., Chen, X., Liu, Y., Ning, L., Chen, L., Li, M., Liu, Y., Wang, G., et al. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00827 · Cited by 2,475
Folegatti, P. M., Ewer, K. J., Aley, P. K., Angus, B., Becker, S., Belij-Rammerstorfer, S., Bellamy, D., Bibi, S., Bittaye, M., Clutterbuck, E. A., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)31604-4 · Cited by 2,419
Cited by
SARS-CoV-2 variant biology: immune escape, transmission and fitness
Carabelli, A. M., Peacock, T. P., Thorne, L. G., Harvey, W. T., Hughes, J., COVID-19 Genomics UK Consortium, de Silva, T. I., Peacock, S. J., Barclay, W. S., de Silva, T. I., et al. (2023) · Nature Reviews Microbiology · doi:10.1038/s41579-022-00841-7 · Cited by 1,291
Hajnik, R. L., Plante, J. A., Liang, Y., Alameh, M.-G., Tang, J., Bonam, S. R., Zhong, C., Adam, A., Scharton, D., Rafael, G. H., et al. (2022) · Science Translational Medicine · doi:10.1126/scitranslmed.abq1945 · Cited by 122
Palmer, C. D., Scallan, C. D., Kraemer Tardif, L. D., Kachura, M. A., Rappaport, A. R., Koralek, D. O., Uriel, A., Gitlin, L., Klein, J., Davis, M. J., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-39053-9 · Cited by 42
Viral sepsis: diagnosis, clinical features, pathogenesis, and clinical considerations
Xu, J.-Q., Zhang, W.-Y., Fu, J.-J., Fang, X.-Z., Gao, C.-G., Li, C., Yao, L., Li, Q.-L., Yang, X.-B., Ren, L.-H., et al. (2024) · Military Medical Research · doi:10.1186/s40779-024-00581-0 · Cited by 37
Moore, K. A., Leighton, T., Ostrowsky, J. T., Anderson, C. J., Danila, R. N., Ulrich, A. K., Lackritz, E. M., Mehr, A. J., Baric, R. S., Baylor, N. W., et al. (2023) · Vaccine · doi:10.1016/j.vaccine.2023.02.032 · Cited by 25
Metadata
- Authors
- Moss, P.
- Venue
- Nature Immunology
- Published
- 2022-02
- Volume
- 23
- Issue
- 2
- Pages
- 186-193
- ISSN
- 1529-2908 (ISSN-L)
- 1529-2916
- OpenAlex
- W4210792795
- Cited by
- 1,235
- References
- 126
- FWCI
- 129.40
- Type
- journal article
- Language
- en
- Open access
- bronze
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The T cell immune response against SARS-CoV-2. https://app.cochat.ai/papers/10.1038/s41590-021-01122-w
- The paper
- Moss, P. (2022). The T cell immune response against SARS-CoV-2. Nature Immunology. https://doi.org/10.1038/s41590-021-01122-w
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.